By python

Homeworks: Interpolation with DataFrame Download the given csv file (do not change the format, keep at csv) Read the file Get the data as dataframe Print Time versus Temperature graph At this level you should see a plot similar to the Figure 1 12:00 AM 190 AM 2:00 AM 300 AM 4:00 AM 3:00 AM 300 AM 7:00 AM 8:00 AM 9:00 AM 10:00 AM 11 00 AM 1200 100 PM 2:00 PM 3:00 PM 400 PM 5:00 PM 6:00 PM 7:00 PM 8:00 9:00 10:00 11:00 PM Time of the day As you can see from the plot or understand from csv file there are some missing data. You should use interpolation to fill the missing data for 1- Default interpolation 2-3rd order polynomial interpolation 3- Prepare a plot where default data, default interpolation, and the 3rd order polynomial are shown. Do not forget including a) Title b) Labels for axis c) Legend Make sure you have drown each plot with different color. timestar Temp Humidity WindSpeed 12:00 AM 2.259227 7.895416 1:00 AM 2.339227 7.072878 2:00 AM 2.099227 84 6.849467 3:00 AM 2.029227 87 4:00 AM 1.939227 89 5.351785 5:00 AM 5.191994 6:00 AM 1.999227 91 5.091168 7:00 AM 2.479227 88 4.89653 8:00 AM 2.419227 87 6.608722 9:00 AM 2.859227 87 7.968939 10:00 AM 10.59404 11:00 AM 6.429227 70 12.97998 12:00 PM 6.989227 68 1:00 PM 7.199227 69 13.20763 2:00 PM 70 3:00 PM 8.589227 70 14.65868 4:00 PM 8.679227 69 14.00766 5:00 PM 8.189227 72 13.68474 6:00 PM 7.579227 78 12.07477 7:00 PM 7.619227 80 11.3842 8:00 PM 11.27553 9:00 PM 7.789227 79 10.82996 10:00 PM 7.849227 78 11:00 PM 7.889227 12.0694